André Totohasina

Orcid: 0000-0001-9378-6919

According to our database1, André Totohasina authored at least 14 papers between 2005 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
The Effectiveness of the M G K Measure against the Odds Ratio in the Epidemiological Study.
Int. J. Math. Math. Sci., 2022

2021
Generating a Condensed Representation for Positive and Negative Association Rules A Condensed Representation for Association Rules.
Proceedings of the 24th International Conference on Business Information Systems, 2021

2020
An Efficient Method for Mining Informative Association Rules in Knowledge Extraction.
Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019
An Extension of Totohasina's Normalization Theory of Quality Measures of Association Rules.
Int. J. Math. Math. Sci., 2019

Elimination of Redundant Association Rules.
Proceedings of the Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology - ISAT 2019, 2019

On Hierarchical Classification Implicative and Cohesive M_GKMGK-Based: Application on Analysis of the Computing Curricula and Students Abilities According the Anglo-Saxon Model.
Proceedings of the Fourth International Congress on Information and Communication Technology, 2019

An Informative Base of Positive and Negative Association Rules on Big Data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Toward a Theory of Normalizing Function of Interestingness Measure of Binary Association Rules.
Int. J. Math. Math. Sci., 2018

ERAPN, an Algorithm for Extraction Positive and Negative Association Rules in Big Data.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

An Efficient Approach for Extraction Positive and Negative Association Rules from Big Data.
Proceedings of the Machine Learning and Knowledge Extraction, 2018

2017
Optimized Mining of Potential Positive and Negative Association Rules.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2007
Towards a Unifying Probabilistic Implicative Normalized Quality Measure for Association Rules.
Proceedings of the Quality Measures in Data Mining, 2007

2006
Galois Lattices and Bases for MGK-Valid Association Rules.
Proceedings of the Concept Lattices and Their Applications, 2006

2005
ION: a pertinent new measure for mining information from many types of data.
Proceedings of the 1st International Conference on Signal-Image Technology and Internet-Based Systems, 2005


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